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Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.
Sieberts SK, Schaff J, Duda M, Pataki BÁ, Sun M, Snyder P, Daneault JF, Parisi F, Costante G, Rubin U, Banda P, Chae Y, Chaibub Neto E, Dorsey ER, Aydın Z, Chen A, Elo LL, Espino C, Glaab E, Goan E, Golabchi FN, Görmez Y, Jaakkola MK, Jonnagaddala J, Klén R, Li D, McDaniel C, Perrin D, Perumal TM, Rad NM, Rainaldi E, Sapienza S, Schwab P, Shokhirev N, Venäläinen MS, Vergara-Diaz G, Zhang Y; Parkinson’s Disease Digital Biomarker Challenge Consortium; Wang Y, Guan Y, Brunner D, Bonato P, Mangravite LM, Omberg L. Sieberts SK, et al. Among authors: daneault jf. NPJ Digit Med. 2021 Mar 19;4(1):53. doi: 10.1038/s41746-021-00414-7. NPJ Digit Med. 2021. PMID: 33742069 Free PMC article.
mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease.
Erb MK, Karlin DR, Ho BK, Thomas KC, Parisi F, Vergara-Diaz GP, Daneault JF, Wacnik PW, Zhang H, Kangarloo T, Demanuele C, Brooks CR, Detheridge CN, Shaafi Kabiri N, Bhangu JS, Bonato P. Erb MK, et al. Among authors: daneault jf. NPJ Digit Med. 2020 Jan 17;3:6. doi: 10.1038/s41746-019-0214-x. eCollection 2020. NPJ Digit Med. 2020. PMID: 31970291 Free PMC article.
[No title available]
[No authors listed] [No authors listed] PMID: 33452390
Accelerometer data collected with a minimum set of wearable sensors from subjects with Parkinson's disease.
Daneault JF, Vergara-Diaz G, Parisi F, Admati C, Alfonso C, Bertoli M, Bonizzoni E, Carvalho GF, Costante G, Fabara EE, Fixler N, Golabchi FN, Growdon J, Sapienza S, Snyder P, Shpigelman S, Sudarsky L, Daeschler M, Bataille L, Sieberts SK, Omberg L, Moore S, Bonato P. Daneault JF, et al. Sci Data. 2021 Feb 5;8(1):48. doi: 10.1038/s41597-021-00830-0. Sci Data. 2021. PMID: 33547309 Free PMC article.
Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson's disease.
Vergara-Diaz G, Daneault JF, Parisi F, Admati C, Alfonso C, Bertoli M, Bonizzoni E, Carvalho GF, Costante G, Fabara EE, Fixler N, Golabchi FN, Growdon J, Sapienza S, Snyder P, Shpigelman S, Sudarsky L, Daeschler M, Bataille L, Sieberts SK, Omberg L, Moore S, Bonato P. Vergara-Diaz G, et al. Among authors: daneault jf. Sci Data. 2021 Feb 5;8(1):47. doi: 10.1038/s41597-021-00831-z. Sci Data. 2021. PMID: 33547317 Free PMC article.
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment.
Eskofier BM, Lee SI, Daneault JF, Golabchi FN, Ferreira-Carvalho G, Vergara-Diaz G, Sapienza S, Costante G, Klucken J, Kautz T, Bonato P. Eskofier BM, et al. Among authors: daneault jf. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:655-658. doi: 10.1109/EMBC.2016.7590787. Annu Int Conf IEEE Eng Med Biol Soc. 2016. PMID: 28268413
Motor skill acquisition during a balance task as a process of optimization of motor primitives.
de Lemos Fonseca M, Daneault JF, Vergara-Diaz G, Quixadá AP, Souza de Oliveira E Torres ÂF, Pondé de Sena E, Bomfim Cruz Vieira JP, Bigogno Reis Cazeta B, Sotero Dos Santos V, da Cruz Figueiredo T, Peña N, Bonato P, Vivas Miranda JG. de Lemos Fonseca M, et al. Among authors: daneault jf. Eur J Neurosci. 2020 May;51(10):2082-2094. doi: 10.1111/ejn.14649. Epub 2020 Jan 3. Eur J Neurosci. 2020. PMID: 31846518
Technology in Parkinson's disease: Challenges and opportunities.
Espay AJ, Bonato P, Nahab FB, Maetzler W, Dean JM, Klucken J, Eskofier BM, Merola A, Horak F, Lang AE, Reilmann R, Giuffrida J, Nieuwboer A, Horne M, Little MA, Litvan I, Simuni T, Dorsey ER, Burack MA, Kubota K, Kamondi A, Godinho C, Daneault JF, Mitsi G, Krinke L, Hausdorff JM, Bloem BR, Papapetropoulos S; Movement Disorders Society Task Force on Technology. Espay AJ, et al. Among authors: daneault jf. Mov Disord. 2016 Sep;31(9):1272-82. doi: 10.1002/mds.26642. Epub 2016 Apr 29. Mov Disord. 2016. PMID: 27125836 Free PMC article. Review.
50 results